Yong Mun

795 citations
43 papers · 464 · h-index 11

Impact in

  • Oncology top 10%
    • Colorectal Cancer Treatments and Studies
    • Cancer Treatment and Pharmacology
    • Cutaneous Melanoma Detection and Management
    • Cancer Immunotherapy and Biomarkers
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Cancer Treatment and Pharmacology 9
    • Colorectal Cancer Treatments and Studies 8
    • Cutaneous Melanoma Detection and Management 6
    • Chronic Lymphocytic Leukemia Research 11

Yong Mun

38 papers receiving 460 citations

Peers

Yong Mun
Comparison fields: 5 of 60
  • Oncology 313
  • Hepatology 50
  • Genetics 54
  • Pathology and Forensic Medicine 79
  • Pulmonary and Respiratory Medicine 115
Replace Tuan S. Nguyen with:
Tuan S. Nguyen United States
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Citations per field
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Citations per year

Countries citing papers authored by Yong Mun

Since Specialization
Citations

This map shows the geographic impact of Yong Mun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yong Mun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong Mun more than expected).

Fields of papers citing papers by Yong Mun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong Mun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yong Mun. The network helps show where Yong Mun may publish in the future.

Co-authors

The 25 scholars most cited alongside Yong Mun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yong Mun Line = papers co-authored together Yong Mun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201279
2 201856
3 201453
4 200348
5 201441
6 201424
7 201720
8 201919
9
A retrospective cohort study to assess the impact of therapeutic substitution of darbepoetin alfa for epoetin alfa in anemic patients with myelodysplastic syndrome.
200613
10 202211
11 202011
12 20198
13 20208
14 20197
15 20127
16 20235
17 20185
18 20154
19 20174
20 20124

About Yong Mun

Yong Mun is a scholar working on Oncology, Genetics, Molecular Biology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 43 papers that have together received 464 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (11 papers), Lymphoma Diagnosis and Treatment (10 papers), Cancer Treatment and Pharmacology (9 papers), Melanoma and MAPK Pathways (9 papers), Colorectal Cancer Treatments and Studies (8 papers), Cutaneous Melanoma Detection and Management (6 papers), Computational Drug Discovery Methods (4 papers) and Head and Neck Cancer Studies (4 papers). The work is most often cited by research in Oncology (313 citations), Hepatology (50 citations), Genetics (54 citations), Pathology and Forensic Medicine (79 citations) and Pulmonary and Respiratory Medicine (115 citations). Yong Mun has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Herbert I. Hurwitz, Tanios Bekaii‐Saab, E. Dawn Flick, Susan Fish, Johanna C. Bendell, Allen Lee Cohn, Nancy Roach, Ying Guo, J. Lynn Palmer and Edward McKenna. Their work appears in journals such as Journal of Clinical Oncology, Blood, European Journal of Cancer, JAMA Oncology and British Journal of Cancer.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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